Michael R. Johnston

5.8k total citations
115 papers, 2.9k citations indexed

About

Michael R. Johnston is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Michael R. Johnston has authored 115 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Pulmonary and Respiratory Medicine, 24 papers in Oncology and 19 papers in Surgery. Recurrent topics in Michael R. Johnston's work include Lung Cancer Diagnosis and Treatment (18 papers), Pleural and Pulmonary Diseases (18 papers) and Lung Cancer Treatments and Mutations (15 papers). Michael R. Johnston is often cited by papers focused on Lung Cancer Diagnosis and Treatment (18 papers), Pleural and Pulmonary Diseases (18 papers) and Lung Cancer Treatments and Mutations (15 papers). Michael R. Johnston collaborates with scholars based in Canada, United States and United Kingdom. Michael R. Johnston's co-authors include Ming‐Sound Tsao, Shaf Keshavjee, Marc de Perrot, Joe B. Putnam, Margaret N. Wesley, Jack A. Roth, Steven A. Rosenberg, Gail Darling, Thomas K. Waddell and Masaki Anraku and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Biomaterials.

In The Last Decade

Michael R. Johnston

109 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael R. Johnston Canada 31 1.8k 717 472 368 284 115 2.9k
Takefumi Satoh Japan 33 1.6k 0.9× 665 0.9× 878 1.9× 546 1.5× 445 1.6× 157 3.6k
He Yu Canada 35 1.4k 0.8× 660 0.9× 994 2.1× 295 0.8× 127 0.4× 83 3.5k
Martin Eichhorn Germany 31 901 0.5× 1.0k 1.4× 966 2.0× 482 1.3× 212 0.7× 129 3.0k
Mitchell E. Gross United States 35 1.5k 0.8× 1.2k 1.6× 1.1k 2.2× 366 1.0× 423 1.5× 122 3.5k
Noboru Tanigawa Japan 29 898 0.5× 692 1.0× 685 1.5× 1.4k 3.8× 422 1.5× 179 3.6k
James A. Radosevich United States 31 860 0.5× 518 0.7× 932 2.0× 558 1.5× 290 1.0× 137 3.0k
M. Schulte Germany 28 846 0.5× 270 0.4× 513 1.1× 597 1.6× 221 0.8× 95 2.5k
Jun Nakashima Japan 35 1.7k 1.0× 1.1k 1.5× 800 1.7× 1.0k 2.7× 446 1.6× 173 4.1k
Henrik Alfthan Finland 42 1.1k 0.6× 803 1.1× 1.5k 3.2× 779 2.1× 273 1.0× 135 5.7k
William S. Ferguson United States 22 1.2k 0.7× 631 0.9× 577 1.2× 330 0.9× 56 0.2× 53 2.3k

Countries citing papers authored by Michael R. Johnston

Since Specialization
Citations

This map shows the geographic impact of Michael R. Johnston's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael R. Johnston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Johnston more than expected).

Fields of papers citing papers by Michael R. Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Johnston. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael R. Johnston. The network helps show where Michael R. Johnston may publish in the future.

Co-authorship network of co-authors of Michael R. Johnston

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Johnston. A scholar is included among the top collaborators of Michael R. Johnston based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael R. Johnston. Michael R. Johnston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lamey, M, et al.. (2022). Automated conversion of Millennium‐120 VMAT plans to HDMLC geometry: Software development and treatment of first patients. Journal of Applied Clinical Medical Physics. 23(6). e13598–e13598. 1 indexed citations
2.
Taghizadeh, Niloofar, Alain Tremblay, Sonya Cressman, et al.. (2019). Health-related quality of life and anxiety in the PAN-CAN lung cancer screening cohort. BMJ Open. 9(1). e024719–e024719. 38 indexed citations
3.
Wu, Licun, Ghassan Allo, Thomas John, et al.. (2016). Patient-Derived Xenograft Establishment from Human Malignant Pleural Mesothelioma. Clinical Cancer Research. 23(4). 1060–1067. 40 indexed citations
4.
Garg, Aayushi, et al.. (2015). Subacute encephalitis in a child seropositive for alpha-3 subunit of neuronal nicotinic acetylcholine receptors antibody. Journal of Pediatric Neurology. 12(3). 161–166. 1 indexed citations
5.
6.
Anraku, Masaki, Kristopher S. Cunningham, Zhihong Yun, et al.. (2008). Impact of tumor-infiltrating T cells on survival in patients with malignant pleural mesothelioma. Journal of Thoracic and Cardiovascular Surgery. 135(4). 823–829. 123 indexed citations
7.
Lau, Suzanne K., Paul C. Boutros, Melania Pintilie, et al.. (2007). Three-Gene Prognostic Classifier for Early-Stage Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. 25(35). 5562–5569. 189 indexed citations
8.
Navab, Roya, Michael R. Johnston, Jiang Liu, et al.. (2004). Expression of Chicken Ovalbumin Upstream Promoter-Transcription Factor II Enhances Invasiveness of Human Lung Carcinoma Cells. Cancer Research. 64(15). 5097–5105. 39 indexed citations
9.
Liu, Jiang, Fiona Blackhall, Isolde Seiden‐Long, et al.. (2004). Modeling of lung cancer by an orthotopically growing H460SM variant cell line reveals novel candidate genes for systemic metastasis. Oncogene. 23(37). 6316–6324. 23 indexed citations
10.
Johnston, Michael R., et al.. (2001). Validation of an orthotopic model of human lung cancer with regional and systemic metastases. The Annals of Thoracic Surgery. 71(4). 1120–1125. 14 indexed citations
11.
Guyatt, Gordon, Lauren E. Griffith, John D. Miller, et al.. (1999). Surgeons’ assessment of symptoms suggesting extrathoracic metastases in patients with lung cancer. The Annals of Thoracic Surgery. 68(2). 309–315. 12 indexed citations
12.
Johnston, Michael R., et al.. (1998). THE ROLE OF ENDOSCOPY IN THE STAGING AND MANAGEMENT OF LUNG METASTASES. Chest Surgery Clinics of North America. 8(1). 49–58. 3 indexed citations
13.
Johnston, Michael R.. (1997). Curable lung cancer. Postgraduate Medicine. 101(3). 155–165. 6 indexed citations
14.
Miller, Charles E. & Michael R. Johnston. (1996). Reduction of thermal spread and tissue adherence with an irrigating bipolar grasper. The Journal of the American Association of Gynecologic Laparoscopists. 3(4). S31–S31. 1 indexed citations
15.
Johnston, Michael R.. (1995). LUNG PERFUSION AND OTHER METHODS OF TARGETING THERAPY TO LUNG TUMORS. Chest Surgery Clinics of North America. 5(1). 139–156. 2 indexed citations
16.
Maziak, Donna E., Michael R. Johnston, & Alan G. Casson. (1995). Adenocarcinoma of the neo-esophagus after collis gastroplasty. The Annals of Thoracic Surgery. 60(6). 1795–1797. 4 indexed citations
17.
Fullerton, David A., et al.. (1994). Use of pleural tenckhoff catheter to palliate malignant pleural effusion. The Annals of Thoracic Surgery. 57(2). 286–288. 30 indexed citations
18.
Cowen, Michael E., et al.. (1994). Dose-Related Doxorubicin Effect in an Orthotopic Secondary Lung Cancer Screen. Journal of Surgical Research. 56(4). 295–301. 2 indexed citations
19.
Howard, Robert, et al.. (1992). Lung tolerance to hyperthermia by in vivo perfusion. European Journal of Cardio-Thoracic Surgery. 6(4). 167–173. 12 indexed citations
20.
Rickaby, D. A., et al.. (1991). Tolerance of the isolated perfused lung to hyperthermia. Journal of Thoracic and Cardiovascular Surgery. 101(4). 732–739. 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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